Genießt ein frohes Weihnachtsfest im Kreise der Familie und kommt gesund in das neue Jahr. Wir wünschen euch von Herzen eine besinnliche und erholsame Weihnachtszeit.

We are happy to announce a new open source SignalPlant Plugin for deep learning inference on medical signals. Our friends from ISI of the CAS in Brno developed the plugin, which we showcase in our joined publication.

We are thrilled to announce the publication of our latest research paper entitled “Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe ”.

A normal study day at the department etit is showcased in this new video by the department. And KIS*MED also has a short cameo role!

We are happy to have been guests at ESA in Noordwijk this week! Why were we there? Together with Prof. Bergita Ganse we discussed our project MACIA, which is about muscle and bone behaviour during over-wintering at the Antarctic station “Concordia”. Interested? Then please send an e-mail to Prof. Christoph Hoog Antink.

As part of the ongoing series “Signals for Life”, where physicans and engineers discuss latest biomedical advancements, Prof. Christoph Hoog Antink was invited onto the DGBMT podcast.

Congratulations to Ingo Hoyer for winning 1st place in the DGBMT Joint Student Competition. Ingo wrote his master's thesis “Conception and implementation of a RISC-V AI extension for the efficient evaluation of ECG data” in co-supervision of KIS*MED and Fraunhofer IMS, Duisburg (Prof. Karsten Seidl). The methods he developed might help to bring AI even closer to patients in the future, e.g. in the form of intelligent, body-worn medical devices.

The conference in Tampere, Finland, has been a phantastic event (as every year)!

We are very pleased to announce a presentation on type 1 diabetes by Ms. Bianca Romanski.

We are pleased to present our first joint publication with Prof. Stefan Borik and his team from the University of Zilina in Slovakia.